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1)  Auto-Covariance Estimation of Variable Samples(ACEVS)
变样本自协方差估计(ACEVS)
2)  sample covariance
样本协方差
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3)  estimating covariance
估计协方差
1.
Aiming at the shortcoming of the estimating covariance which is obtained by given measurement variance,a new algorithm of sensor management based on time-varying measurement variance is presented.
首先,该算法根据时变的测量方差计算目标的估计协方差;其次,利用所得的估计协方差求出目标的信息增量;最后,根据信息增量最大化的原则对传感器资源进行分配。
4)  Sample estimate bias
样本估计偏差
5)  sample covariance matrix
样本协方差阵
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6)  covariance matrix estimation
协方差矩阵估计
1.
For the environment in which the clutter power changes slowly with distance,a novel weighting maximum likelihood estimation(WMLE) algorithm is proposed that uses the Bayes criterion to improve the approximative covariance matrix estimation for Space-Time Adaptive Processing(STAP).
针对杂波功率随距离缓变的非均匀环境,提出了一种新的基于Bayes准则的加权最大似然估计(WMLE)算法,以改善空时自适应处理(STAP)中的协方差矩阵估计。
2.
For the clutter power slowly changed environment—range-dependent nonhomogeneity,the weighting covariance matrix estimation algorithm is proposed which is based on the relative distance criterion.
针对杂波功率依距离缓变的非均匀环境,提出了基于相对距离准则的加权协方差矩阵估计算法。
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补充资料：本自
1.本来就，一向是。
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